4.6 Article

A hybrid method of peridynamic differential operator-based Eulerian particle method-immersed boundary method for fluid-structure interaction

Journal

COMPUTATIONAL PARTICLE MECHANICS
Volume 10, Issue 5, Pages 1309-1322

Publisher

SPRINGER INT PUBL AG
DOI: 10.1007/s40571-023-00562-5

Keywords

Peridynamic differential operator; Eulerian particle method; Fluid-structure interaction; Immersed boundary method

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This paper presents a non-local Eulerian particle method coupled with an immersed boundary method for fluid-structure interaction problems. The Eulerian particle method transforms the partial differential equations into integral forms using peridynamic differential operator. Symmetric particle distribution is applied to enhance the efficiency and stability of the algorithm. By introducing the immersed boundary method into the original Eulerian particle method, a new coupling method is obtained that can solve problems with moving bodies inside fluid. The proposed method is applied to three benchmark problems, demonstrating its stability and accuracy.
This paper proposes a non-local Eulerian particle method coupling with immersed boundary method (IBM) for fluid-structure interaction (FSI) problems. In the Eulerian particle method, the partial differential forms of governing equations are transformed into integral forms using peridynamic differential operator (PDDO). Symmetric particle distribution is applied in the Eulerian particle method, enhancing the efficiency and stability of the algorithm. By introducing the IBM framework into the original Eulerian particle method, we can obtain a new coupling method, which could solve problems with moving bodies inside fluid and extend the applicability of the Eulerian particle method. The numerical procedure of the proposed hybrid method is detailed. The proposed method is then applied to three benchmark problems: 2D flow around a steady rectangle/moving square and an impulsively started rigid plate inside a rectangular box filled with water. The results capture the flow characteristics of these problems, showing the proposed method's stability and accuracy.

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